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      In silico and in vitro evaluation of kaempferol as a potential inhibitor of the SARS‐CoV‐2 main protease (3CLpro)

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          To the Editor, The recent SARs‐CoV‐2 created focal news when the paradoxical spread was reported in the Wuhan province of China, further jeopardizing the existence of the human race on the planet earth. Due to its rapid expansion throughout the world, the COVID‐19 outbreak was declared as a global pandemic by the World Health Organization (WHO) on March 20, 2020. The updates of November 13, 2020, have been reported 53,429,139 infections and 1,304,470 deaths. Fever, shortness of breath, coughing, myalgia, dyspnea, and radiological indications of ground‐glass lung opacity compatible with atypical pneumonia are the signs exhibited by most patients with COVID‐19. However, some patients have also been reported to have asymptomatic or mildly symptomatic (Chen et al., 2020; Huang et al., 2020; Lu et al., 2020). The whole proteome of the SARS‐CoV‐2 is encoded by ~30 kb a genome. The whole‐genome encodes three major components, including non‐structural (NS), structural, and accessory proteins (Durojaiye, Clarke, Stamatiades, & Wang, 2020). The genes found on the 3′‐terminus encode the four structural proteins constituting the main envelope of the virus and eight accessory proteins. Among the structural proteins small envelope protein (E), spike surface glycoprotein (S), nucleocapsid protein (N), and the membrane protein (M) while the eight accessory proteins codes for 3a, 3b, p6, 7a, 7b, 8b, 9b and ORF14 (Wu et al., 2020). In contrast, the two overlapping genes, ORFIa and ORF1ab, encode the non‐structural proteins (polypeptides pp1a and pp1ab) and form a replication/transcription complex (RTC). These pp1a and pp1ab polypeptides are translated and then proteolytically cleaved by two main viral proteases, (papain‐like protease) PLpro and (3‐chymotrypsin‐like protease) 3CLpro or main proteases (Mpro) (Perlman & Netland, 2009). PLpro is accountable for the cleavage of non‐structural proteins (nsp 1–3). In contrast, the 3CLpro (Figure 1A) cleaves the polyprotein at 11 discrete sites downstream of nsp4 to yield different non‐structural proteins that play a crucial role in the viral life cycle. Previous studies have indicated that 3CLpro (Mpro) plays an important role in cell proliferation and maturation. So, the inhibition of this target would significantly contribute to controlling the COVID‐19 (Needle, Lountos, & Waugh, 2015). Because of these multi‐faceted aspects, 3CLpro has been deemed as a promising drug development target for anti‐coronaviruses (Hatada et al., 2020). FIGURE 1 (A) Shows the structure of 3CLpro and its different domains. (B) Shows the 2D structure of kaempferol. (C–E) Show the binding mode of kaempferol each conformation. (F–H) Show the RMSd of the three best conformations. (I–K) Show the RMSf of the three best conformations. (L–N) Show the Rg of the three best conformations. (O) The inhibitory effects of kaempferol on SARS‐CoV‐2 in Vero E6 cells [Colour figure can be viewed at wileyonlinelibrary.com] In this study, we have used both in silico and in vitro approaches to confirm the activity of an active compound Kaempferol (Figure 1B), which was reported in our previous study to potentially interact with the SARs‐CoV‐2 main protease 3CLpro (Khan et al., 2020). The compound found through molecular search from the Traditional Chinese Medicine (TCM) was re‐docked here against the active site of the main protease. AutoDock Vina (Trott & Olson, 2010) with exhaustiveness set as 64 was used to dock kaempferol against the main protease (3CLpro). The docking predictions revealed the docking scores for the 10 conformations. Among the 10 conformations, the docking score for the first three conformations was −6.4 kcal/mol. Previously, these residues His41, Met49, Tyr54, Phe140, Leu141, Asn142, Cys145, His163, Met165, Glu166, Leu167, Phe185, Asn187, Arg188, and Gln192 comprised the active site. Therefore, the first three conformations were analyzed for potential interactions with these residues. Conformation 1 (Figure 1C) formed six hydrogen bonds with the active site residues, including Phe140, Leu141, Asn142, His163, Glu166, and Arg188. A pie‐sulfur interaction was formed by Cys145, while the Met165 formed a pie‐alkyl interaction. The second conformation (Figure 1D) with the docking score (−6.4 kcal/mol) also formed six hydrogen bonds with the key active site residues. Among the key interactions, five were formed with Phe140, Leu141, Asn142, and Cys145, while one hydrogen bond was formed with Arg188. The conformation 3 formed only three hydrogen bonds with the key residues. As shown in (Figure 1E) Met49, Phe140, and His163 are involved in the interaction with Kaempferol. Hence, the docking predictions significantly confirm that kaempferol potentially interacts with the same active site residue even in different conformations, thus verify its activity against the 3CLpro. To further validate the potential of kaempferol as an active drug, a biophysical investigation was performed. Using Amber20 (Salomon‐Ferrer, Case, & Walker, 2013), a 250 ns simulation for each conformation was performed to reveal the dynamic behavior of Kaempferol‐3CLpro complexes. The parameters were set as used in the previous study (Khan et al., 2020). To demonstrate the structural stability of the complexes, root mean square deviation (RMSD) of each complex was calculated. As given in Figure 1F–H, all the complexes reached the stability at 1.8 Å and reached the equilibrium state at 15 ns. For conformation 1 the average RMSD was reported to be 2.0 Å. The system remained stable during the 250 ns simulation time. No significant convergence was reported. The stability graph of the conformation 2 followed the same pattern as conformation 1 except the average RMSD remained relatively higher as 2.2 Å. The system faced a little convergence between 90 and 110 ns; however, the system remained stable during the simulation time. On the other hand, conformation 3 was relatively unstable, and the RMSD converged after 150 ns but then decreased afterward. The average RMSD for this conformation was reported to be 2.8 Å. Their results significantly justify that the kaempferol is stable in the 3CLpro cavity and acts as a stronger inhibitor of the 3CLpro. The residual flexibility (RMSF) given in Figure 1I–K show similar behavior of residual flexibility. Differences in the residual flexibility justify the differential binding of each conformation and its impact on the protein's internal dynamics. To further confirm the compactness of the kaempferol‐3CLpro complexes, radius of gyration (Rg) was calculated. Conformation 1 (Figure 1L) and 2 (Figure 1M) possess a similar pattern of compactness during the 250 ns time. An average Rg for these two complexes was reported to be 22.0 Å. On the other hand, the compactness of the conformation 3 (Figure 1N) remained higher relatively and converged during the simulation time. The Rg value for conformation 3 increased after 150 ns. Conclusively, these results suggest that conformation 1 and 2 remained more stable and compact than conformation 3 relatively. The binding conformation 1 and 2 are the best representation of the kaempferol binding. Furthermore, the total binding free energy was calculated by using the MM‐GBSA module (Genheden & Ryde, 2015). Using the free energy approach vdW, electrostatic, SASA, and the total binding free energy was calculated. The vdW for each conformation was reported to be −33.113, −33.808, −23.505 kcal/mol, while the electrostatic contribution for each was reported to be −9.359, −10.192, −4.9419 kcal/mol, respectively. The total binding energy for conformation 1 was reported to be −25.67 kcal/mol. For conformation 2, the total binding energy was −26.81 kcal/mol, while for the third conformation, the binding energy −17.21 kcal/mol was reported. Hence, these results significantly verify that kaempferol possesses strong anti‐coronavirus activity and thus tested against SARs‐CoV‐2 experimentally. The free energy results are given in Table 1. TABLE 1 Molecular docking, free energy, and experimental analysis results, including drug concentration and inhibition rate in percentage are tabulated Complex Docking score VdW Electrostatic SASA ΔG Conformation 1 −6.4 kcal/mol −33.113 −9.359 −3.646 −25.67 kcal/mol Conformation 2 −6.4 kcal/mol −33.808 −10.192 −3.564 −26.81 kcal/mol Conformation 3 −6.4 kcal/mol −23.505 −4.9419 −2.793 −17.21 kcal/mol Virus Kaempferol (μM) Inhibition rate (%) SARS‐CoV‐2 125.00 88.33 ± 12.58 62.50 93.33 ± 5.77 31.25 40.00 ± 34.64 For the experimental testing of kaempferol, the drug molecule was obtained from Bide Pharmatech Limited located in Shanghai, China. From ATCC, Vero E6 cells or the African green monkey kidney epithelial cells were purchased. The cell was cultured in Dulbecco's modified Eagle's medium (DMEM, Gibco, USA) with 10% fetal bovine serum (FBS), 100 U/ml penicillin, and 100 μg/ml streptomycin. SARS‐CoV‐2 (Genebank accession no. MT123290.1) was clinical isolates from Guangzhou Customs Technical Center BSL‐3 Laboratory (Research Institute of Highly Pathogenic Microorganisms, State Key Laboratory of Respiratory Diseases). Reed Muench method (Haggett & Gunawardena, 1964) (TCID50 [50% tissue culture infective dose] = 10−6/100 μL) was utilized to determine the 50% tissue culture infective dose. Stocks of viruses were gathered and deposited at −80°C. In a biosafety level‐3 (BLS‐3) laboratory, all the infection experiments were conducted. To investigate the antiviral effects of kaempferol against SARS‐CoV‐2, the CPE inhibition assay under the nontoxic concentration of kaempferol was employed. The related protocol was employed, as reported in the previous study (Ma et al., 2020). Drug concentrations 125, 62.5, and 31.25 μM for kaempferol were tested. Each test was done at least in triplicate and repeated two times. Following 72 hr of incubation, the infected cells showed 100% cytopathic effect (CPE) under the light microscope. The percentage of CPE in kaempferol‐treated cells was recorded. The range of concentrations and the number of standards for each tested preparation were performed according to guidelines for an accurate IC50 (the 50% inhibition concentration) estimation (Sebaugh, 2011). Cellular toxicity or cytotoxicity of kaempferol was appraised in Vero E6 cells using a non‐radioactive cell proliferation assay (MTT) (Sebaugh, 2011). To investigate the inhibitory activity of kaempferol against the SARS‐CoV‐2, CPE inhibition assay was performed (Figure 1O). It has been reported that SARS‐CoV‐2 causes a severe CPE in infected Vero E6 cells, including cell detachment, rounding, and death. A decrease in SARS‐CoV‐2‐induced CPE after the incubation of 72 hr revealed the antiviral efficacy of kaempferol and remdesivir. It was found that kaempferol (62.50–125.00 μg/ml) significantly abridged the CPE instigated by an infection in Vero E6 cells (Table 1). These findings have shown that kaempferol has been able to protect cells from virus‐induced cell death and could be a promising SARS‐CoV‐2 antiviral drug. Our compounds kaempferol shares structural similarity with Scutellarein, Dihydromyricetin, Quercetagetin, Myricetin, 5,6‐Dihydroxyflavone, 6,7‐Dihydroxyflavone, Chrysin, Herbacetin, and Baicalein which are flavonoids and have been reported to have strong inhibitory activity against the 3CLpro from SARS‐COV‐2 (Dai et al., 2020). Similarly, Park et al. (2017) reported 4‐hydroxyisolonchocarpin as an active compound against the SARS‐CoV also possess a similar scaffold as kaempferol with the IC50 value 202.7 μM. Furthermore, Ampelopsin, a Flavanonole, with similar structural arrangement reported to inhibit the 3CLpro. The IC50 value for Ampelopsin was reported to be 364 μM (Nguyen et al., 2012). Kaempferol has also been previously reported to inhibit the SARS 3CLpro (IC50 = 116.3 μM and MERS 3CLpro (IC50 = 35.3 μM) (Jo, Kim, Shin, & Kim, 2020; Schwarz et al., 2014). Hence, this comparative analysis shows that kaempferol possesses stronger inhibitory effects than the related group of compounds, which are previously reported to inhibit the coronavirus. CONFLICT OF INTEREST The authors declare no conflicts of interest.

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          Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study

          Summary Background In December, 2019, a pneumonia associated with the 2019 novel coronavirus (2019-nCoV) emerged in Wuhan, China. We aimed to further clarify the epidemiological and clinical characteristics of 2019-nCoV pneumonia. Methods In this retrospective, single-centre study, we included all confirmed cases of 2019-nCoV in Wuhan Jinyintan Hospital from Jan 1 to Jan 20, 2020. Cases were confirmed by real-time RT-PCR and were analysed for epidemiological, demographic, clinical, and radiological features and laboratory data. Outcomes were followed up until Jan 25, 2020. Findings Of the 99 patients with 2019-nCoV pneumonia, 49 (49%) had a history of exposure to the Huanan seafood market. The average age of the patients was 55·5 years (SD 13·1), including 67 men and 32 women. 2019-nCoV was detected in all patients by real-time RT-PCR. 50 (51%) patients had chronic diseases. Patients had clinical manifestations of fever (82 [83%] patients), cough (81 [82%] patients), shortness of breath (31 [31%] patients), muscle ache (11 [11%] patients), confusion (nine [9%] patients), headache (eight [8%] patients), sore throat (five [5%] patients), rhinorrhoea (four [4%] patients), chest pain (two [2%] patients), diarrhoea (two [2%] patients), and nausea and vomiting (one [1%] patient). According to imaging examination, 74 (75%) patients showed bilateral pneumonia, 14 (14%) patients showed multiple mottling and ground-glass opacity, and one (1%) patient had pneumothorax. 17 (17%) patients developed acute respiratory distress syndrome and, among them, 11 (11%) patients worsened in a short period of time and died of multiple organ failure. Interpretation The 2019-nCoV infection was of clustering onset, is more likely to affect older males with comorbidities, and can result in severe and even fatal respiratory diseases such as acute respiratory distress syndrome. In general, characteristics of patients who died were in line with the MuLBSTA score, an early warning model for predicting mortality in viral pneumonia. Further investigation is needed to explore the applicability of the MuLBSTA score in predicting the risk of mortality in 2019-nCoV infection. Funding National Key R&D Program of China.
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            Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding

            Summary Background In late December, 2019, patients presenting with viral pneumonia due to an unidentified microbial agent were reported in Wuhan, China. A novel coronavirus was subsequently identified as the causative pathogen, provisionally named 2019 novel coronavirus (2019-nCoV). As of Jan 26, 2020, more than 2000 cases of 2019-nCoV infection have been confirmed, most of which involved people living in or visiting Wuhan, and human-to-human transmission has been confirmed. Methods We did next-generation sequencing of samples from bronchoalveolar lavage fluid and cultured isolates from nine inpatients, eight of whom had visited the Huanan seafood market in Wuhan. Complete and partial 2019-nCoV genome sequences were obtained from these individuals. Viral contigs were connected using Sanger sequencing to obtain the full-length genomes, with the terminal regions determined by rapid amplification of cDNA ends. Phylogenetic analysis of these 2019-nCoV genomes and those of other coronaviruses was used to determine the evolutionary history of the virus and help infer its likely origin. Homology modelling was done to explore the likely receptor-binding properties of the virus. Findings The ten genome sequences of 2019-nCoV obtained from the nine patients were extremely similar, exhibiting more than 99·98% sequence identity. Notably, 2019-nCoV was closely related (with 88% identity) to two bat-derived severe acute respiratory syndrome (SARS)-like coronaviruses, bat-SL-CoVZC45 and bat-SL-CoVZXC21, collected in 2018 in Zhoushan, eastern China, but were more distant from SARS-CoV (about 79%) and MERS-CoV (about 50%). Phylogenetic analysis revealed that 2019-nCoV fell within the subgenus Sarbecovirus of the genus Betacoronavirus, with a relatively long branch length to its closest relatives bat-SL-CoVZC45 and bat-SL-CoVZXC21, and was genetically distinct from SARS-CoV. Notably, homology modelling revealed that 2019-nCoV had a similar receptor-binding domain structure to that of SARS-CoV, despite amino acid variation at some key residues. Interpretation 2019-nCoV is sufficiently divergent from SARS-CoV to be considered a new human-infecting betacoronavirus. Although our phylogenetic analysis suggests that bats might be the original host of this virus, an animal sold at the seafood market in Wuhan might represent an intermediate host facilitating the emergence of the virus in humans. Importantly, structural analysis suggests that 2019-nCoV might be able to bind to the angiotensin-converting enzyme 2 receptor in humans. The future evolution, adaptation, and spread of this virus warrant urgent investigation. Funding National Key Research and Development Program of China, National Major Project for Control and Prevention of Infectious Disease in China, Chinese Academy of Sciences, Shandong First Medical University.
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              A new coronavirus associated with human respiratory disease in China

              Emerging infectious diseases, such as severe acute respiratory syndrome (SARS) and Zika virus disease, present a major threat to public health 1–3 . Despite intense research efforts, how, when and where new diseases appear are still a source of considerable uncertainty. A severe respiratory disease was recently reported in Wuhan, Hubei province, China. As of 25 January 2020, at least 1,975 cases had been reported since the first patient was hospitalized on 12 December 2019. Epidemiological investigations have suggested that the outbreak was associated with a seafood market in Wuhan. Here we study a single patient who was a worker at the market and who was admitted to the Central Hospital of Wuhan on 26 December 2019 while experiencing a severe respiratory syndrome that included fever, dizziness and a cough. Metagenomic RNA sequencing 4 of a sample of bronchoalveolar lavage fluid from the patient identified a new RNA virus strain from the family Coronaviridae, which is designated here ‘WH-Human 1’ coronavirus (and has also been referred to as ‘2019-nCoV’). Phylogenetic analysis of the complete viral genome (29,903 nucleotides) revealed that the virus was most closely related (89.1% nucleotide similarity) to a group of SARS-like coronaviruses (genus Betacoronavirus, subgenus Sarbecovirus) that had previously been found in bats in China 5 . This outbreak highlights the ongoing ability of viral spill-over from animals to cause severe disease in humans.
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                Author and article information

                Contributors
                dqwei@sjtu.edu.cn
                Journal
                Phytother Res
                Phytother Res
                10.1002/(ISSN)1099-1573
                PTR
                Phytotherapy Research
                John Wiley & Sons, Ltd. (Chichester, UK )
                0951-418X
                1099-1573
                15 January 2021
                : 10.1002/ptr.6998
                Affiliations
                [ 1 ] Department of Bioinformatics and Biological Statistics School of Life Sciences and Biotechnology, Shanghai Jiao Tong University Shanghai China
                [ 2 ] Peng Cheng Laboratory Shenzhen China
                [ 3 ] National Center for Bioinformatics, Quaid‐i‐Azam University Islamabad Pakistan
                [ 4 ] The CAS Key Laboratory of Innate Immunity and Chronic Diseases, Hefei National Laboratory for Physical Sciences at Microscale School of Life Sciences, CAS Center for Excellence in Molecular Cell Science, University of Science and Technology of China (USTC), Collaborative Innovation Center of Genetics and Development Hefei China
                [ 5 ] Center for Biotechnology and Microbiology, University of Swat Swat Pakistan
                [ 6 ] State Key Laboratory of Microbial Metabolism, Shanghai‐Islamabad‐Belgrade Joint Innovation Center on Antibacterial Resistances, Joint Laboratory of International Cooperation in Metabolic and Developmental Sciences Ministry of Education and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University Shanghai China
                Author notes
                [*] [* ] Correspondence

                Dong‐Qing Wei and Wang Heng, Department of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.

                Email: dqwei@ 123456sjtu.edu.cn (D. W.) and wang_heng126@ 123456126.com (W. H.)

                Author information
                https://orcid.org/0000-0002-4288-7602
                Article
                PTR6998
                10.1002/ptr.6998
                8013176
                33448101
                ff44b9ed-62fd-461a-8a8d-898e67185540
                © 2021 John Wiley & Sons, Ltd.

                This article is being made freely available through PubMed Central as part of the COVID-19 public health emergency response. It can be used for unrestricted research re-use and analysis in any form or by any means with acknowledgement of the original source, for the duration of the public health emergency.

                History
                : 09 December 2020
                : 25 November 2020
                : 11 December 2020
                Page count
                Figures: 1, Tables: 1, Pages: 5, Words: 3209
                Funding
                Funded by: National Natural Science Foundation of China , open-funder-registry 10.13039/501100001809;
                Award ID: 32070662
                Funded by: Shanghai Jiao Tong University , open-funder-registry 10.13039/501100004921;
                Award ID: YG2017ZD14
                Funded by: Natural Science Foundation of Henan Province , open-funder-registry 10.13039/501100006407;
                Award ID: 162300410060
                Funded by: Science and Technology Commission of Shanghai Municipality , open-funder-registry 10.13039/501100003399;
                Award ID: 19430750600
                Funded by: Ministry of Science and Technology of China
                Award ID: 2016YFA0501703
                Categories
                Letter to the Editor
                Letters to the Editors
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                Pharmacology & Pharmaceutical medicine
                Pharmacology & Pharmaceutical medicine

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